Research Article Open Access

The Artificial Neural Network Based Approach for Mortality Structure Analysis

Sokolova M. Kursk1, Rashad J. Rasras1 and D. Skopin1
  • 1 ,
American Journal of Applied Sciences
Volume 3 No. 2, 2006, 1698-1702

DOI: https://doi.org/10.3844/ajassp.2006.1698.1702

Submitted On: 27 February 2006 Published On: 28 September 2006

How to Cite: Kursk, S. M., Rasras, R. J. & Skopin, D. (2006). The Artificial Neural Network Based Approach for Mortality Structure Analysis. American Journal of Applied Sciences, 3(2), 1698-1702. https://doi.org/10.3844/ajassp.2006.1698.1702

Abstract

The theoretical outcomes and experimental results of applying of Artificial Neural Networks towards mortality structure examination in Russian Federation are presented in the paper. The most influencing classes of diseases are selected by sensitivity analysis. It is proved that Neural Network Models appear to be an adequate tool for mortality structure examination. Some interesting results for males and females total mortality are discussed. Proposed technology can be used for support in decision making in social sphere.

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Keywords

  • Neural Networks
  • decision support systems
  • modular Neural Networks
  • optimization
  • mortality structure
  • diseases
  • sensitivity analysis